BASICS

arrow_drop_down What is the MITx MicroMasters Credential in Statistics and Data Science?   ¶

The MITx MicroMasters Credential in Statistics and Data Science is a stand-alone certification program offered by MITx that is designed and administered by the MIT Institute for Data, Systems, and Society (IDSS) and supported by the MIT Office of Digital Learning (ODL).

The MITx MicroMasters credential consists of four intensive online courses providing learners with both the foundational knowledge essential to understand the methods and tools used in data science and with hands-on practice implementing and experimenting with data analysis techniques and machine learning algorithms. Along with these four courses is one virtually-proctored capstone exam.

It is important to note that the MicroMasters is NOT a degree-granting program, nor is it a guarantee of admissions to MIT or to any of the IDSS graduate programs. It is a separate stand-alone professional certificate offered by MITx and delivered by edX. Read more or enroll on edX here.

More information on the IDSS academic programs can be found here.

arrow_drop_down What are the four online courses required for the MITx MicroMasters Credential in Statistics and Data Science?   ¶

There are four online courses and a capstone exam required to complete the MITx MicroMasters credential in Statistics and Data Science.

  • 6.431x Probability - The Science of Uncertainty and Data
  • 14.310x/14.310Fx- Data Analysis in Social Science
  • 18.6501x Fundamentals of Statistics
  • 6.86x Machine Learning with Python: from Linear Models to Deep Learning

To be eligible for the MicroMasters certificate, you must earn a Verified Certificate in each course and pass the comprehensive exam. Read more about verification here.

arrow_drop_down How do I enroll in the credential, and do I need to have an undergraduate degree?   ¶

There is no formal enrollment in the MicroMasters credential. Instead, you should register for each individual course as your schedule permits. Course enrollments are open to anyone, anywhere with an internet connection. There are no prerequisites or undergraduate degrees required to enroll.

Given that these are graduate-level quantitative courses, we suggest you have a grasp of single and multi-variable calculus and linear algebra, as well as being comfortable with mathematical reasoning and Python programming.

In order to complete the credential, you do need to enroll as a verified learner in each of the courses and the capstone exam. Read more about course verification on edX here.

arrow_drop_down Do I need to be a verified learner to earn the MITx MicroMasters credential in Statistics and Data Science?   ¶

Yes. You must successfully pass and receive a Verified Certificate in each of the four courses and the capstone exam. Learn more about verified certificates here.

arrow_drop_down How much does the MITx MicroMasters credential in Statistics and Data Science cost, and is there financial aid available?   ¶

The cost to take each course is US $300. The capstone exam cost is US $300. EdX offers financial aid to learners who qualify. You can learn more and find out if you qualify here.

arrow_drop_down When is the next MITx MicroMasters credential in Statistics and Data Science offered?   ¶

Data Science program schedule

The next run of each course are also listed in the MITx MicroMasters dashboard.

arrow_drop_down How long does it take to complete the MITx MicroMasters Credential in Statistics and Data Science?   ¶

On average, we expect our learners to take about 12-18 months to complete the credential.

arrow_drop_down How much time should I expect to spend on each MITx MicroMasters credential in Statistics and Data Science course?   ¶

Each course in the MITx MicroMasters credential in Statistics and Data Science runs for between 13 and 16 weeks. Learners with appropriate background can expect to spend roughly 12-14 hours per week on each course.

arrow_drop_down Is there any way to reduce the time needed to take and pass the MITx MicroMasters Credential in Statistics and Data Science courses and exam?   ¶

To earn the MicroMasters Credential, you need to successfully earn a verified certificate in all MITx MicroMasters Credential in Statistics and Data Science online courses when they are scheduled and then pass the virtually-proctored exam. The courses are on an instructor-paced schedule rather than self-paced, so there is no way to reduce the time in each course.

However, learners may take 14.310x (Data Analysis in Social Science) concurrently with 18.6501x (Fundamentals of Statistics) or 6.86x (Machine Learning with Python). This will allow you to complete the credentialing process earlier.

arrow_drop_down Are courses given in real time, or pre-recorded?   ¶

All courses are pre-recorded. Lessons are released according to a calendar specific to each course. The calendar will be posted in the beginning of each course.

arrow_drop_down May I take one of the MITx MicroMasters credential in Statistics and Data Science courses even though I have not taken its prerequisite?   ¶

There are no prerequisites for any of the courses. However, we strongly recommend the completion of “Multivariable Calculus” on MIT OpenCourseWare before starting any of the MITx MicroMasters credential in Statistics and Data Science courses.

We encourage you to take the MITx MicroMasters credential in Statistics and Data Science courses in this order:

  • 6.431x Probability - The Science of Uncertainty and Data (Introduction to Probability)
  • 14.310x (Data Analysis in Social Science)
  • 18.6501x (Fundamentals of Statistics)
  • 6.86x (Machine Learning with Python)

At your discretion, to finish in a reduced time, 14.310x (Data Analysis in Social Science) may be taken in conjunction with either 18.6501x (Fundamentals of Statistics) or 6.86x (Machine Learning with Python) as a standalone class.

arrow_drop_down Is one course a prerequisite for another course? In other words, do learners need to take the four courses in order?   ¶

There are no prerequisites for any of the courses. However, we strongly recommend to completion of “Multivariable Calculus” on MIT OpenCourseWare before starting any of the MITx MicroMasters credential in Statistics and Data Science courses.

We encourage you to take them in this order:

  • 6.431x Probability - The Science of Uncertainty and Data (Introduction to Probability)
  • 14.310x (Data Analysis in Social Science)
  • 18.6501x (Fundamentals of Statistics)
  • 6.86x (Machine Learning with Python)

Learners with a strong Python background may take 14.310x (Data Analysis in Social Science) in conjunction with either 18.6501x (Fundamentals of Statistics) or 6.86x (Machine Learning with Python) as a standalone class.

Learners with no Python background who want to finish the credential in less than a year, may take 6.00.1x concurrent with 6.431x (Probability - The Science of Uncertainty and Data).

arrow_drop_down Is there an order in which I need to take the courses?   ¶

These courses build on one another. We encourage you to take them in this order:

  1. 6.431x Probability - The Science of Uncertainty and Data (Introduction to Probability)
  2. 14.310x (Data Analysis in Social Science)
  3. 18.6501x (Fundamentals of Statistics)
  4. 6.86x (Machine Learning with Python)

At your discretion, to finish in a reduced time, 14.310x (Data Analysis in Social Science) may be taken in conjunction with either 18.6501x (Fundamentals of Statistics) or 6.86x (Machine Learning with Python) as a standalone class.

arrow_drop_down What is the difference between 14.310 and 14.310Fx (Data Analysis in Social Science)?   ¶

14.310x (Data Analysis in Social Science) covers the methods for harnessing and analyzing data to answer questions of cultural, social, economic, and policy interest. 14.310Fx is an assessment that tests your knowledge on the course content from 14.310x (Data Analysis in Social Science).

arrow_drop_down May I use two or more different accounts for the MITx MicroMasters credential in Statistics and Data Science courses?   ¶

No. Each edX learner should have a single edX ID (username and email account) that must be used in the four MITx MicroMasters credential in Statistics and Data Science courses and also in the final comprehensive exam. In fact, using two different edX accounts within the same course are grounds for expulsion from the course.

arrow_drop_down Do I need to take a course in order to take the exam?   ¶

Yes. You will need to obtain a passing grade in each course in order to be eligible to take the final cumulative exam.

arrow_drop_down May I repeat a course for a better score?   ¶

Yes, you may repeat a course as many times as you wish. In order for a course to count toward the MicroMasters Credential, the passing course must be taken as an I.D. verified learner. Verification fees are not transferable across courses.

arrow_drop_down After passing the courses, what else do I need in order to earn the MITx MicroMasters in Statistics and Data Science Credential?   ¶

You need to take and pass the virtually-proctored capstone exam.

arrow_drop_down What are the key concepts covered in each course?   ¶

6.431x (Probability - The Science of Uncertainty and Data) is an introduction to probabilistic models, including random processes and the basic elements of statistical inference, and covers the foundations of data science.

14.310x (Data Analysis in Social Science) covers the methods for harnessing and analyzing data to answer questions of cultural, social, economic, and policy interest.

18.6501x (Fundamentals of Statistics) helps learners to develop a deep understanding of the principles that underpin statistical inference: estimation, hypothesis testing, and prediction.

6.86x (Machine Learning with Python) is an in-depth introduction to the field of machine learning, from linear models to deep learning and reinforcement learning, with hands-on Python projects.

arrow_drop_down What if I have a disability-related request regarding accessing a MicroMasters course or exam?   ¶

If you have a disability-related request regarding accessing a MicroMasters course or exam, please contact micromasters-support@mit.edu as early as possible.

CREDENTIALS AND VERIFIED CERTIFICATES

arrow_drop_down Will I earn a separate certificate for each course or just one for the entire MicroMasters Credential?   ¶

You will receive an individual Verified Certificate for each MITx MicroMasters credential in Statistics and Data Science course that you pass as a verified learner. Read more about course certificates here.

Learners who pass the capstone exam after completing all four MITx MicroMasters credential in Statistics and Data Science courses will receive a MicroMasters Credential certificate. View a sample certificate here.

arrow_drop_down Does completion of the MicroMasters Credential guarantee admission to IDSS Graduate programs at MIT?   ¶

No. While your performance in the MicroMasters coursework and proctored exams will play a very important role in determining admissions, it won't be the only criterion we take into account.

Learners who successfully complete this MITx MicroMasters credential have the opportunity to apply to the MIT Doctoral Program in Social and Engineering Systems (SES) offered through the MIT Institute for Data, Systems, and Society (IDSS) during the SES admissions cycle (due date: December 15). Credentialed learners will be able to use their credential to demonstrate their preparation in statistics and data science fundamentals to the SES Admissions Committee.

Learners admitted to SES can expect that their MITx MicroMasters coursework will help prepare them for the SES core classes, and in many cases may also be applied toward the SES Information, Systems, and Decision Science requirements. More information on the MIT SES Doctoral Program can be found here (https://idss.mit.edu/academics/ses_doc/).

arrow_drop_down How do I earn a Verified Certificate?   ¶

To earn a verified certificate for an online course, you need to pay the fee and verify for the course within the first four weeks and then successfully complete the course and the virtually proctored exam. The verified certificate costs US $300 per course in the MITx MicroMasters credential in Statistics and Data Science. The virtually proctored exam is also US $300 and requires you to verify your identity using a webcam and a government-issued ID, so employers and schools know that you, and only you, completed the coursework.

arrow_drop_down Which institution issues the verified certificate?   ¶

Certificates are issued by edX under the name of MITx and are delivered online through edx.org.

arrow_drop_down Is it sufficient to keep a "pass" grade in the course, or will the bar for achieving the MicroMasters be set higher?   ¶

The passing grade for each course is independent of the MicroMasters credential. The specific grade is set by the instructor and is usually 60% to pass. When applying to an MIT graduate program, we will use the actual scores in the admissions process – but that is independent of earning the MicroMasters credential.

arrow_drop_down How do I share my course certificate or MicroMasters credential with employers and schools?   ¶

You can add the individual course certificate, or MicroMasters credential in the education, certifications or accomplishments section of your resume or CV. If you wish to add the MicroMasters credential abbreviation to your title, use “ MITx MicroMasters credential in Statistics and Data Science.”

Your course certificate or MicroMasters credential will have an identifying code that you can also share via hyperlink following these directions.

To add your course certificate or MicroMasters credential to your LinkedIn profile, you may use the Education or Accomplishments sections of LinkedIn. Choose MITx as your certification authority under education or MIT IDSS under accomplishments.

arrow_drop_down How do I obtain official transcripts of my work?   ¶

The MITx MicroMasters credential is a professional certification. There are no official transcripts available at this time. You can share your MITx MicroMasters credential in Statistics and Data Science course certificates and MicroMasters credential from your edX dashboard following these directions.

If you are applying to any of the MIT IDSS programs, staff from the MicroMasters in MITx MicroMasters credential in Statistics and Data Science will generate a summary of your work at the time your application is accepted, and no additional action will be needed on your part. edX and its partner universities are currently working on a secure method to offer transcripts. More information will be available soon.

arrow_drop_down I've already taken Introduction to Probability when it was listed as 6.041x. Can I get credit for this course?   ¶

If you took 6.041x as a verified learner and passed before September 2018, you can receive credit for 6.431x Probability - The Science of Uncertainty and Data. You will still need to verify and pass the other MicroMasters courses and the cumulative final exam in order to complete the MicroMasters credential. When enrolling for the final exam, please inform the staff of when you took 6.041x.

ACADEMIC PROGRAMS AT MIT IDSS

arrow_drop_down What are the paths to earning a Master's Degree from MIT IDSS?   ¶

Learners who successfully complete the MITx MicroMasters credential have the opportunity to apply to the MIT Doctoral Program in Social and Engineering Systems (SES) offered through the MIT Institute for Data, Systems, and Society (IDSS) during the SES admissions cycle (due date: December 15). Credentialed learners will be able to use their credential to demonstrate their preparation in statistics and data science fundamentals to the SES Admissions Committee.

Learners admitted to SES can expect that their MITx MicroMasters coursework will help prepare them for the SES core classes, and in many cases may also be applied toward the SES Information, Systems, and Decision Science requirements. More information on the MIT SES Doctoral Program can be found here (https://idss.mit.edu/academics/ses_doc/).

arrow_drop_down How will having the MITx MicroMasters credential in Statistics and Data Science change the admissions process for the Statistics, Social and Engineering Systems, and Technology and Public Policy full-time graduate programs?   ¶

Having the MicroMasters credential provides the admissions committee with significant insight into a learner’s capabilities through the completion of four online courses and one virtually-proctored cumulative exam. We encourage learners to note the completion of MITx MicroMasters credential in Statistics and Data Science MicroMasters credential in their application, which the admissions committee will take into consideration. Information on the Doctoral programs at MIT IDSS.

arrow_drop_down What universities accept the MicroMasters credential for university credit?   ¶

Learners who successfully earn the MITx MicroMasters credential in Statistics and Data Science are now eligible to earn credit at a number of universities across the globe to fast track their pursuit of a full Master’s degree. Here is a list of these universities and information on the amount of credit offered.

Credit from the MITx MicroMasters credential in Statistics and Data Science can count towards course requirements for learners admitted to the SES PhD Program.

arrow_drop_down Will I have the opportunity to meet the instructors or other learners at any point?   ¶

Yes. Staff can arrange meetups in your region. Instructors and staff will be available via virtual hangouts. If there is enough demand, there may also be meetups in the MIT area.

arrow_drop_down How can I contact the faculty member in charge of the MITx MicroMasters credential in Statistics and Data Science program?   ¶

Please direct all questions about the MITx MicroMasters credential in Statistics and Data Science to sds-mm@mit.edu. If your question is about a particular class that you are enrolled in, you can contact the course teams by emailing the address listed on the “About” page for each course.

CAPSTONE EXAM

arrow_drop_down What is a virtually-proctored exam?   ¶

A proctored exam is a supervised exam taken online. A proctor ensures the security and integrity of the exam process. A proctor is a liaison between edX and its learners who ensures that testing is done under fair and secure conditions. The proctor’s main responsibilities include verifying a government-issued photo ID, monitoring learners during the exam to ensure they do not use unauthorized aides, and ensuring learners follow the instructions outlined by the instructor.

arrow_drop_down What will the virtually-proctored exam be like?   ¶

Virtually-proctored learners will take the final exam from their own computers and be able to open each section of the exam for a pre-determined, set amount of time.

The exam is designed to test broad learning across the four courses. The questions are designed according to the limitations presented in the exam: limited time, and limited accessibility. The main purpose is to test your understanding of the key concepts from all four courses. A score of 60% will be considered passing.

arrow_drop_down What will I need for the exam?   ¶

  • A government-issued photo ID that clearly identifies you by your full name, and that can be used to confirm your identity
  • A computer that meets all system requirements to use the edX platform

arrow_drop_down Where is the proctored exam?   ¶

The exams are offered virtually via the edX platform. Most people will take the exams virtually from their own computer.

arrow_drop_down What do I need to be aware of with virtual proctoring software?   ¶

  • Computers used for virtual proctoring must comply with these system requirements
  • For virtual exam-takers, Windows XP and Microsoft Surface laptops, and mobile devices or tablets do not work with the virtual proctoring software.
  • learners will not need software other than R and Python

More details on virtual proctoring can be found at the edX learner guide

arrow_drop_down What if I have a disability-related request regarding accessing a MicroMasters course or exam?   ¶

If you have a disability-related request regarding accessing a MicroMasters course or exam, please contact micromasters-support@mit.edu as early as possible.

Instructors